In depth quantitative proteomic and transcriptomic characterization of human adipocytes differentiation using the SGBS cell line. In depth quantitative proteomic and transcriptomic characterization of human adipocytes differentiation using the SGBS cell line

Most information on molecular processes accompanying and driving adipocyte differentiation are derived from rodent models. Here, a comprehensive analysis of combined transcriptomic and proteomic alterations during adipocyte differentiation in Simpson–Golabi–Behmel Syndrome (SGBS) cells is provided. The SGBS cells are a well-established and the most widely applied cell model to study human adipocyte differentiation and cell biology. However, the molecular alterations during human adipocyte differentiation in SGBS cells have not yet been described in a combined analysis of proteome and transcriptome. Here a global proteomic and transcriptomic data set comprising relative quantification of a total of 14372 mRNA transcripts and 2641 intracellular and secreted proteins is presented. 1153 proteins and 313 genes are determined as differentially expressed between preadipocytes and the fully differentiated cells including adiponectin, lipoprotein lipase, fatty acid binding protein 4, fatty acid synthase, stearoyl-CoA desaturase, and apolipoprotein E and many other proteins from the fatty acid synthesis, amino acid synthesis as well as glucose and lipid metabolic pathways. Preadipocyte markers, such as latexin, GATA6, and CXCL6, are found to be significantly downregulated at the protein and transcript level. This multi-omics data set provides a deep molecular profile of adipogenesis and will support future studies to understand adipocyte function. Overall design: 13 samples were included in the study. Three samples represent undifferentiated cells and serve as baseline measurements for adipocyte differentiation.

目前关于伴随并驱动脂肪细胞分化的分子过程的相关研究信息，大多源自啮齿动物模型。本研究针对辛普森-戈拉比-贝梅尔综合征（Simpson–Golabi–Behmel Syndrome, SGBS）细胞在脂肪细胞分化过程中的转录组与蛋白质组联合变化展开了全面分析。SGBS细胞是目前已被广泛验证、应用最广泛的研究人源脂肪细胞分化及细胞生物学的细胞模型。然而，此前尚未有研究通过蛋白质组与转录组联合分析的方式，阐明SGBS细胞中人源脂肪细胞分化过程中的分子变化特征。本研究公开了一套覆盖全局的蛋白质组与转录组数据集，共完成14372条mRNA转录本以及2641个细胞内及分泌型蛋白的相对定量分析。研究鉴定出前脂肪细胞与完全分化成熟的脂肪细胞之间存在1153个差异表达蛋白及313个差异表达基因，其中涵盖脂联素、脂蛋白脂酶、脂肪酸结合蛋白4、脂肪酸合酶、硬脂酰辅酶A去饱和酶、载脂蛋白E等，以及脂肪酸合成、氨基酸合成、糖脂代谢通路中的诸多其他蛋白。前脂肪细胞标志物如迟蛋白（latexin）、GATA结合蛋白6（GATA6）以及C-X-C基序趋化因子配体6（CXCL6），在蛋白与转录本水平均呈现显著下调。本多组学数据集为脂肪生成过程提供了深入的分子特征图谱，将为后续解析脂肪细胞功能的相关研究提供支撑。整体实验设计：本研究共纳入13份样本，其中3份为未分化细胞样本，作为脂肪细胞分化过程的基线对照。